The purpose of this study was to explore the dimensions and components of a data governance model for the National Organization for Civil Registration, using a qualitative approach based on experts’ perspectives. In terms of its purpose, the study was applied-developmental, and methodologically, it was a qualitative study based on thematic analysis. Data were collected through document review, library research, and semi-structured interviews with 15 experts and managers from the National Organization for Civil Registration. Participants were selected purposively based on criteria including at least 10 years of managerial or specialized experience and holding a master’s degree or higher. The sampling process continued until theoretical saturation was achieved.The data were analyzed using thematic analysis in MAXQDA 2020, and themes were extracted at three levels: basic, organizing, and global themes. The findings indicated that the data governance model in the National Organization for Civil Registration is based on five main dimensions: data policymaking and stewardship, data quality, data security and privacy, data life-cycle management, and data infrastructure and utilization.These dimensions provide an integrated framework for data management in civil registration organizations and can contribute to improving data quality, enhancing accountability, increasing public trust, and supporting data-driven decision-making in public-sector organizations. The findings provide a foundation for developing data governance policies and strategies in government organizations responsible for managing identity-related data.